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How You can EASILY create Custom Datasets and Loaders! 

Data with Sandro
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28 сен 2024

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Комментарии : 24   
@datawithsandro2919
@datawithsandro2919 2 года назад
Let me know what you think about this course guys, and ask if you have any questions! Code: gist.github.com/SandroLuck/a5cee19b5706a8de11fa026d4aa7d478
@xiangli1133
@xiangli1133 2 года назад
Thanks! Keep up the good work, buddy!
@datawithsandro2919
@datawithsandro2919 2 года назад
Definitely will, great that you enjoy it!
@muhammad_talha
@muhammad_talha Год назад
hey brother , i just come across to your channel its really great , I love it gonna learn alot from your vids , keep posting
@datawithsandro2919
@datawithsandro2919 Год назад
Thanks and very grateful you enjoy them!
@ross5885
@ross5885 2 года назад
Thank you :) Great video.
@datawithsandro2919
@datawithsandro2919 2 года назад
Cheers happy to help!
@AshutoshPanigrahy-c1r
@AshutoshPanigrahy-c1r Год назад
Thanks! it helped me a lot
@datawithsandro2919
@datawithsandro2919 Год назад
Cheers, happy to help!
@liirinen
@liirinen Год назад
How do you write a custom dataloader for image data for an autoencoder that uses two images?
@datawithsandro2919
@datawithsandro2919 Год назад
Short answer put tuples into the dataloader, but it comes with a bit more customization work🫠
@MehranFazelalyan
@MehranFazelalyan Год назад
Hi Sandro, thank you for your helpful tutorial. How can I test the model on a single tensor with star parameters. I basically want to give the model a tensor and get a predicted label in return, that tells me the star type. Could you please make a short code example?
@datawithsandro2919
@datawithsandro2919 Год назад
batch size 1 might do the trick?
@curiousmind7967
@curiousmind7967 10 месяцев назад
What if my data is in hundreds of csv files...?
@FelLoss0
@FelLoss0 Год назад
Hi sandro. Thanks for this tutorial. I found it very easy to follow. However, I'm not sure if I correctly understood what your aim was when using the set_fold method. I wish you could give us more examples about this. Thanks!!!
@anas.2k866
@anas.2k866 2 года назад
How can we do when the original data is in a json file. Thank you
@datawithsandro2919
@datawithsandro2919 2 года назад
Replace the read_csv command with ' import pandas as pd df = pd.read_json("FILE_JSON.json")'
@anas.2k866
@anas.2k866 2 года назад
@@datawithsandro2919 Yes, Thank you I find that this method that you have explained in this video very interesting it make things very compact. Is it this way people in companies and academics do things ? I mean is it the classical way to deal with data. I am still a student and I do not know this kind of good tricks
@datawithsandro2919
@datawithsandro2919 2 года назад
@@anas.2k866 Great question. There are many ways ppl do this in a professional enviroment. For small( up to some XXGB) this is surely a valid way. Many also choose cloud based options. But this is a good way unless you have some very specific requirements
@anas.2k866
@anas.2k866 2 года назад
@@datawithsandro2919 THanks a lot it does clear my mind about all this data preparation. By the way is what you explained goes in category of Data preparation or another domain. About the cloud options would you please have any reference where I can learn more about it.
@datawithsandro2919
@datawithsandro2919 2 года назад
@@anas.2k866 Sure there exists an excellent website called qwikilabs which contains tutorials for everything on the google cloud, including automl. Glad I could help
@oliviercroissant4034
@oliviercroissant4034 Год назад
there is only one problem. The dataloader works as described only on Linux ti does not work on Mac OSX for exemple or on Windows
@datawithsandro2919
@datawithsandro2919 Год назад
Very possible that there are some minor differences between OSs. I mostly work on Linux Vms, sadly I can not give more guidance here
@datawithsandro2919
@datawithsandro2919 Год назад
Thanks for pointing this out for others
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